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- W2609550331 abstract "Count-based distributional semantic models suffer from sparsity due to unobserved but plausible co-occurrences in any text collection. This problem is amplified for models like Anchored Packed Trees (APTs), that take the grammatical type of a co-occurrence into account. We therefore introduce a novel form of distributional inference that exploits the rich type structure in APTs and infers missing data by the same mechanism that is used for semantic composition." @default.
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- W2609550331 date "2017-04-21" @default.
- W2609550331 modified "2023-09-27" @default.
- W2609550331 title "Improving Semantic Composition with Offset Inference" @default.
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